Scientists Create Chip That Generates Brand-New Colors of Light, Cracking a Decades-Old Nonlinear Optics Challenge

By harnessing two natural timescales in resonator arrays, researchers created photonic chips that reliably produce multiple harmonics without active compensation. For decades, scientists and engineers ...
Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
Microsoft

Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation

Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...
Morningstar

NTT Research Collaboration Breaks the “One Device, One Function” Paradigm with World’s First Programmable Nonlinear Photonics Chip

New paper published in Nature details NTT Research’s development of the world’s first programmable nonlinear photonic waveguide in collaboration with Cornell University and Stanford University. A ...
IEEE

Essentially Bivariate Nonlinear Units for Complex-Valued Adaptive Filter

Abstract: This letter proposes a novel complex-valued nonlinear function (CVNF) approximation method for adaptive nonlinear filter, which is used to digitally cancel the weak nonlinearity, a commonly ...
IEEE

LMI-based Nonlinear Control Via Implicit Lyapunov Function for Finite-Time Stabilization

Abstract: This paper deals with finite-time stabilization of uncertain nonlinear SISO systems with relative degree equal to their order. In contrast with former methodologies which were limited to ...
Semiconductor Engineering

Implementing AI Activation Functions

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Ars Technica

Getting an all-optical AI to handle non-linear math

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...
C&EN

CNN-LSTM-Based Nonlinear Model Predictive Controller for Temperature Trajectory Tracking in a Batch Reactor

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Batch reactors are type of chemical reactors, where the reactants are loaded to ...